🥗 NutriScan AI

Snap your food, get an instant AI-powered nutrition breakdown. NutriScan analyzes food photos and packaged food labels, tracks your health goals, and gives you a personal nutrition dashboard — all in an installable PWA.

🌐 Live: nutriscanai.vercel.app

✨ Features

• 📸 Camera capture — point at your plate and analyze instantly
• 🏷️ Label mode — scan packaged food nutrition labels
• 💬 Conversational follow-up questions about your food
• 📊 Nutrition charts and personal dashboard
• 🎯 Health goals tracking
• 🌗 Light/dark themes
• 🔐 Supabase authentication + admin panel
• 📱 Installable PWA with service worker

🛠️ Tech Stack

• Vanilla JavaScript · HTML · CSS (no framework)
• AI vision for food & label analysis
• Supabase — auth, profiles, storage
• Chart.js for nutrition visualizations
• PWA: manifest + service worker + TWA asset links

🚀 Getting Started

git clone https://github.com/Sugamdeol/NutriScan-Ai.git
cd NutriScan-Ai
python -m http.server 8080

Configure your Supabase project and AI keys in auth.js / script.js.

🔑 Admin Panel Access

1. Register and log in with your account.

2. Grant admin permissions by running this in the Supabase SQL Editor:

   UPDATE profiles SET is_admin = true WHERE id = 'YOUR_USER_ID';

3. The admin panel (see admin.js) becomes available on login.

📄 License

This project is licensed under the MIT License.

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Built with ❤️ by Sugam Deol